Autonomy Software Engineer - Mapping and Localization

Autonomy Software Engineer - Mapping and Localization

Posted July 28, 2025

About UCR

UCR (Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobsturning dangerous work from a necessity into a choice. Our work demands reliability, robustness, and readiness for the unexpectedon time, every time. We're assembling a mission-driven team focused on delivering real impact in heavy industry, from construction and mining to energy. If you're driven to build rugged, reliable products that solve real-world problems, we'd love to talk.

Position Overview

At UCR, building robots is a team sport. As a Robotics Autonomy Engineer, you'll take ownership and lead the development of autonomy systems that power our multipurpose robots across diverse and unstructured environments. You'll design, implement, and optimize cutting-edge localization, mapping, navigation, and SLAM systemsincluding advanced techniques such as 3D Gaussian Splattingthat enable our robots to perceive, understand, and act in the real world with confidence.

Responsibilities

• Develop and maintain real-time mapping, localization, and navigation software for mobility robotic systems
• Build scalable SLAM pipelines using a mix of sensors, including LiDAR, vision, and IMU
• Implement 3D scene representations using cutting-edge techniques such as 3D Gaussian Splatting, NeRFs, and other neural or volumetric methods
• Integrate localization and mapping modules with motion planning and control systems
• Deploy robust autonomy stacks to on-board compute platforms and validate them in both simulation and real-world testing
• Analyze and tune performance of perception and SLAM systems in challenging environments
• Collaborate with mechanical, electrical, and software engineers to develop co-designed autonomy solutions
• Write clean, modular, production-quality code with thorough documentation and testing
• Operate and support robots during field testing and customer deployment

Requirements

Nice to Have

To apply, submit your resume here or email people@ucr.bot . To increase your chances of being selected for an interview, we encourage you to include a public portfolio of your most representative work featuring your individual contributions and public demonstrations of autonomy or SLAM systems.

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